Determination of drought distribution using palmer drought severity ındex: Case study of Susurluk basin

Umut Mucan
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Abstract

The results such as decrease in agricultural production, product quality and change in diversity because of drought create important socio-economic problems. Due to these reasons, it is becoming an increasingly strategic study topic in academic circles. The fact is that it is not observed instantly like natural disasters makes it possible to take necessary measures on a basin basis in case of drought. Accordingly, obtained data, from meteorological stations in the Susurluk Basin, were used in this study. Within the scope of the study, the starting and ending dates, and intensities of dominant dry periods were determined by using the PDSI (Palmer Drought Severity Index). Using data such as precipitation, evaporation, transpiration, and the water holding capacity of soil as inputs, a tool was developed in the R environment for PDSI, and annual values were calculated for each meteorology station by running all inputs in this tool. For calculated PDSI values, spatial and temporal analyze were made using the digital elevation model of the Susurluk Basin using the ordinary cokriging interpolation method in ArcGIS 10.8 program.
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利用帕尔默干旱严重程度确定干旱分布ındex:以苏苏勒克盆地为例
干旱造成的农业产量下降、产品质量下降和多样性变化等后果造成了严重的社会经济问题。由于这些原因,它正成为学术界越来越具有战略意义的研究课题。事实是,它不像自然灾害那样可以立即观察到,因此有可能在发生干旱时以流域为基础采取必要的措施。因此,本研究使用了从苏苏鲁鲁克盆地气象站获得的数据。在研究范围内,利用PDSI (Palmer Drought Severity Index)确定了主要干旱期的开始和结束日期和强度。利用降水、蒸发、蒸腾和土壤持水量等数据作为输入,在R环境中开发了PDSI工具,并通过运行该工具中的所有输入来计算每个气象站的年值。对计算得到的PDSI值,采用ArcGIS 10.8软件中普通cokriging插值方法,利用苏苏勒克盆地数字高程模型进行时空分析。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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